Eduardo Castro

21 papers B 1Journal 7Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Cloud-Based, Multi-Modal Data Architecture for Post-Transplant Diabetes Management. ICDH Vince S. Siu, Carla Agurto, Michael Graziano, Takashi Itoh, Italo Buleje, Eduardo Castro, Jill Rusticelli, Shannon Downie, Kelly Paulus, Kimberly Jenkins, Guillermo A. Cecchi, Bing Dang, M. Cecilia Lansang
2025	—	`conf`	Predicting Glucose Levels in Diabetic Kidney Transplant Recipients Using Multivariate Temporal Modeling Across Clinically Defined Subcohorts. ICDH Carla Agurto, Eduardo Castro, Michael Graziano, Manqi Zhou, Italo Buleje, Shannon Downie, Brooke Barnes, Jill Rusticelli, Kelly Paulus, Bing Dang, Guillermo A. Cecchi, Vince S. Siu, M. Cecilia Lansang
2023	—	`—`	Deep Learning based Computer Aided Diagnosis for Breast Cancer Screening Eduardo Castro
2023	—	`conf`	Deep Minutiae Fingerprint Extraction Using Equivariance Priors. BIOSIGNALS Margarida Gouveia, Eduardo Castro, Ana Rebelo, Jaime S. Cardoso, Bruno Patrão
2023	J	`jnl`	Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition. Mach. Vis. Appl. Eduardo Castro, Pedro M. Ferreira, Ana Rebelo, Isabel Rio-Torto, Leonardo Capozzi, Mafalda Falcão Ferreira, Tiago Gonçalves, Tomé Albuquerque, Wilson Silva, Carolina Afonso, Ricardo Gamelas Sousa, Claudio Cimarelli, Nadia Daoudi, Gabriel Moreira, Hsiu-Yu Yang, Ingrid Hrga, Javed Ahmad, Monish Keswani, Sofia C. Beco
2023	J	`jnl`	Symmetry-based regularization in deep breast cancer screening. Medical Image Anal. Eduardo Castro, José Costa Pereira, Jaime S. Cardoso
2020	B	`conf`	Soft Rotation Equivariant Convolutional Neural Networks. IJCNN Eduardo Castro, José Costa Pereira, Jaime S. Cardoso
2019	—	`conf`	Deep Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes. ISBI Wilson Silva, Eduardo Castro, Maria João Cardoso, Florian Fitzal, Jaime S. Cardoso
2019	—	`conf`	Weight Rotation as a Regularization Strategy in Convolutional Neural Networks. EMBC Eduardo Castro, José Costa Pereira, Jaime S. Cardoso
2018	—	`conf`	Elastic deformations for data augmentation in breast cancer mass detection. BHI Eduardo Castro, Jaime S. Cardoso, José Costa Pereira
2017	J	`jnl`	Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease. IBM J. Res. Dev. Pablo Polosecki, Eduardo Castro, Andrew Wood, John H. Warner, Irina Rish, Guillermo A. Cecchi
2015	J	`jnl`	A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders. NeuroImage Yuhui Du, Godfrey D. Pearlson, Jingyu Liu, Jing Sui, Qingbao Yu, Hao He, Eduardo Castro, Vince D. Calhoun
2015	—	`conf`	Deep independence network analysis of structural brain imaging: A simulation study. MLSP Eduardo Castro, R. Devon Hjelm, Sergey M. Plis, Laurent Dinh, Jessica A. Turner, Vince D. Calhoun
2015	—	`conf`	Generation of synthetic structural magnetic resonance images for deep learning pre-training. ISBI Eduardo Castro, Alvaro Ulloa, Sergey M. Plis, Jessica A. Turner, Vince D. Calhoun
2014	J	`jnl`	A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia. NeuroImage Eduardo Castro, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Kent A. Kiehl, Vince D. Calhoun
2014	—	`conf`	Accurate classification of schizophrenia patients based on novel resting-state fMRI features. EMBC Mohammad R. Arbabshirani, Eduardo Castro, Vince D. Calhoun
2014	—	`conf`	Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection. EMBC Jing Sui, Eduardo Castro, Hao He, David A. Bridwell, Yuhui Du, Godfrey D. Pearlson, Tianzi Jiang, Vince D. Calhoun
2014	—	`conf`	Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging. EMBC Eduardo Castro, Cota Navin Gupta, Manel Martínez-Ramón, Vince D. Calhoun, Mohammad R. Arbabshirani, Jessica A. Turner
2014	—	`conf`	The tenth annual MLSP competition: Schizophrenia classification challenge. MLSP Rogers F. Silva, Eduardo Castro, Cota Navin Gupta, Mustafa S. Çetin, Mohammad Arbabshirani, Vamsi K. Potluru, Sergey M. Plis, Vince D. Calhoun
2013	J	`jnl`	Three-way (N-way) fusion of brain imaging data based on mCCA + jICA and its application to discriminating schizophrenia. NeuroImage Jing Sui, Hao He, Godfrey D. Pearlson, Tülay Adali, Kent A. Kiehl, Qingbao Yu, Vincent P. Clark, Eduardo Castro, Tonya White, Bryon A. Mueller, Beng-Choon Ho, Nancy Andreasen, Vince D. Calhoun
2011	J	`jnl`	Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia. NeuroImage Eduardo Castro, Manel Martínez-Ramón, Godfrey D. Pearlson, Jing Sui, Vince D. Calhoun